Figure 2 - uploaded by Michael Melnik
Content may be subject to copyright.
Context in source publication
Context 1
... a parameter -the number of centers for each agent, and d is the dimension of the simu-lation domain. The meaning of such a genotype is the spread of a given number of centers in the modelling area and assignment of cells to nearby centers of corresponding intelligent agents. An example of a genotype and its corresponding distribution is shown in Fig. 2. Each color represents an allocated area for specific agent. The mutation operator moves randomly selected centers by adding a normally distributed values. The crossover is a two-pointed crossover, which selects centers for agents from two parents. The selection is performed by tournament with 3 participants. Each individual presents a ...
Similar publications
Demand Responsive Transit (DRT) responds to the dynamic users’ requests without any fixed routes and timetables and determines the stop and the start according to the demands. This study explores the optimization of dynamic vehicle scheduling and real-time route planning in urban public transportation systems, with a focus on bus services. It addre...
A crucial task in traffic data analysis is similarity pattern discovery, which is of great importance to urban mobility understanding and traffic management. Recently, a wide range of methods for similarities discovery have been proposed and the basic assumption of them is that traffic data is complete. However, missing data problem is inevitable i...
Sustainable mobility issues in rural areas, compared with urban mobility issues, have so far been poorly covered in the French and European public debate. However, local mobility issues are determining factors in territorial inequalities, regional development and ecological transition. This paper is based on preliminary findings of qualitative soci...
Car-sharing services have been providing short-term car access to their users, contributing to sustainable urban mobility and generating positive societal and often environmental impacts. As car-sharing business models vary, it is important to understand what features drive the attraction and retention of its members in different contexts. For that...
Background
European cities are placing a larger emphasis on urban data consolidation and analysis for optimizing public transport in response to changing urban mobility dynamics. Despite the existing efforts, traffic data analysis often disregards vital situational context, including large-scale events, weather factors, traffic generation poles, so...
Citations
... where G is objective function that characterize expected time of model execution with respect to used scheduling algorithm L and model M. In the context of generative modeling problem on the stage of execution model M can be fully described as a set of model properties that consists of optimal model structure: optimal functions S * (from previous stage) and additional set of performance influential parameters a 1:|S| . Reminiscent approaches can be seen in several publications, e.g., [49]. ...
In this paper, we describe the concept of generative design approach applied to the automated evolutionary learning of mathematical models in a computationally efficient way. To formalize the problems of models’ design and co-design, the generalized formulation of the modeling workflow is proposed. A parallelized evolutionary learning approach for the identification of model structure is described for the equation-based model and composite machine learning models. Moreover, the involvement of the performance models in the design process is analyzed. A set of experiments with various models and computational resources is conducted to verify different aspects of the proposed approach.
